Modelwise offers Paitron, a software solution that automates functional safety analysis using model-based failure propagation and artificial intelligence. This platform significantly reduces the time required for FMEA tasks, accelerating safety sign-off from weeks to hours. By analyzing engineering models early, the tool helps identify design flaws to improve product quality and reduce development costs.
Funding
$3.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
VCFounders
Product
Problem
Safety analysis for critical hardware systems is a time-intensive process, often requiring weeks to complete using traditional manual methods. This prolonged assessment period can delay product development cycles and hinder the early detection of potential design flaws.
Solution
Modelwise offers Paitron, a software solution that automates safety analysis for critical hardware systems by leveraging model-based failure propagation and AI-driven qualitative models. Paitron significantly reduces the time required for safety assessments, completing tasks in hours that previously took weeks. By identifying design flaws early in the product development lifecycle, Paitron enables engineers to optimize designs, reduce the risk of costly recalls, and ensure compliance with safety standards. The software supports Design-, System- & Piece-part-FMEA, providing a comprehensive approach to safety analysis. Paitron's trusted algorithms and methods allow white-box reasoning, ensuring high-quality analysis, which is validated by a concept report received from TÜV SÜD.
Target Audience
The primary users are engineers and safety managers in industries such as automation, automotive, railway, and aerospace who are responsible for ensuring the functional safety of critical hardware systems.
Features
- Automates ~80% of FMEA tasks, significantly reducing analysis time
- Employs model-based failure propagation for complete and correct system behavior analysis
- Utilizes AI and qualitative models to analyze the effects of errors
- Identifies design flaws in early product stages
- Supports Design-, System- & Piece-part-FMEA
- Provides white-box reasoning through trusted algorithms & methods
- Generates concept report validated by TÜV SÜD
- Seamlessly integrates into existing engineering workflows